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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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Audits campus for assigned safety areas, including laboratory safety, chemical safety, radiation safety, biological safety, use of controlled substances, laser and X-ray machine safety, Hazardous waste material, EPA Compliance and trades shop safety.
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3+ years of experience in data science, with a focus on data analysis and machine learning model development, or data monitoring system implementation, 2 years of experience in Energy Trading Firm or 2 years of experience in compliance role.
$105,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
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A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Proficiency with OCI-Data Science, Oracle Data Integrator (ODI) and Oracle Integration Cloud (OIC) strongly preferred. Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$241,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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Experience in data science solutions, data modeling, statistical analysis, application coding or programming, machine learning algorithms, data mining, or data visualization.
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Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing. Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV.
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Have six to eight years of experience in Data Science, Artificial Intelligence, and other related advanced analytics implementations for financial systems. Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.
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B.S., M.S. or Ph. D. in Materials Science, Electrochemistry or Chemical Engineering. +5 years working experience in the development and testing of cathode material such as LFP, LMFP, NCA, NMC etc, fabrication of coin and pouch cells, cell testing, and electrochemical data analysis.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions; internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with one or more of the following would be desirable but not required: o Relational (e.g. MySQL) or non-relational (MongoDB)databasing o Signal processing (filtering and feature detection) o Machine learning o Computer vision (object detection and feature extraction) o Hardware integration (e.g. Serial port communication, microcontrollers, closed-loop control) o Fluorescence Microscopy o GPU computation (CUDA, Tensorflow/PyTorch.
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The Data Science team works closely with the commercial decision makers, using cutting edge machine learning to shape our understanding of the world’s energy markets, identify new opportunities and turn data into impactful decision making.
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machine data science jobs Company: Aon in Houston, TX
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